SOX17/ETV2 improves the direct reprogramming of adult fibroblasts to endothelial cells

Grath, Alexander; Dai, Guohao

doi:10.1016/j.crmeth.2024.100732

Cited by 2 publications

References 46 publications

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Unraveling the Complexity and Advancements of Transdifferentiation Technologies in the Biomedical Field and Their Potential Clinical Relevance

Mishra,

Biesiada,

Gupta

et al. 2024

Archivum Immunologiae Et Therapiae Experimentalis

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Chronic diseases such as cancer, autoimmunity, and organ failure currently depend on conventional pharmaceutical treatment, which may cause detrimental side effects in the long term. In this regard, cell-based therapy has emerged as a suitable alternative for treating these chronic diseases. Transdifferentiation technologies have evolved as a suitable therapeutic alternative that converts one differentiated somatic cell into another phenotype by using transcription factors (TFs), small molecules, or small, single-stranded, non-coding RNA molecules (miRNA). The transdifferentiation techniques rely on simple, fast, standardized, and versatile protocols with minimal chance of tumorigenicity and genotoxicity. However, there are still challenges and limitations that need to be addressed to enhance their clinical translation percentage in the near future. Taking this into account, we have delineated the features and strategies used in the transdifferentiation techniques. Then, we delved into different intermediate states that were attained during transdifferentiation. Advancements in transdifferentiation techniques in the field of tissue engineering, autoimmunity, and cancer therapy were dissected. Furthermore, limitations, challenges, and future perspectives are outlined in this review to provide a whole new picture of the transdifferentiation techniques. Advancements in molecular biology, interdisciplinary research, bioinformatics, and artificial intelligence will push the frontiers of this technology further to establish new avenues for biomedical research.

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Unraveling the Complexity and Advancements of Transdifferentiation Technologies in the Biomedical Field and Their Potential Clinical Relevance

Mishra,

Biesiada,

Gupta

et al. 2024

Archivum Immunologiae Et Therapiae Experimentalis

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Spatial Omics and Gene Circuits

Biradar,

Korrapati,

Krishna

et al. 2025

Advances in Medical Diagnosis, Treatment, and Care

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Spatial transcriptomics is a powerful tool in biomedical research that enables the analysis of gene expression patterns within their spatial context. By providing insights into the spatial organisation of gene expression, this technology can help address limitations in the design of synthetic gene circuits in a controlled manner. In cancer biology, combining spatial transcriptomics with other approaches allows researchers to gain a deeper understanding of the spatiotemporal dynamics of gene regulation. This method has significant potential for revealing tissue architecture and cellular heterogeneity, which complements the analysis of gene circuits. This study explores the advantages of spatial transcriptomics and gene circuit analysis, focusing on integrating these techniques to understand better the spatial and temporal regulation of genes within tissues.

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SOX17/ETV2 improves the direct reprogramming of adult fibroblasts to endothelial cells

Cited by 2 publications

References 46 publications

Unraveling the Complexity and Advancements of Transdifferentiation Technologies in the Biomedical Field and Their Potential Clinical Relevance

Unraveling the Complexity and Advancements of Transdifferentiation Technologies in the Biomedical Field and Their Potential Clinical Relevance

Spatial Omics and Gene Circuits

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